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Biological heterogeneity in ADNI amnestic mild cognitive impairment
Jasmine Nettiksimmons1, Charles DeCarli2, Susan Landau3
1Department of Psychiatry, University of California-San Francisco, San Francisco, CA, USA.
Background:
Previous work examining normal controls from the Alzheimer's Disease Neuroimaging Initiative (ADNI) identified substantial biological heterogeneity. We hypothesized that ADNI mild cognitive impairment (MCI) subjects would also exhibit heterogeneity with possible clinical implications.
Methods:
ADNI subjects diagnosed with amnestic MCI (n=138) were clustered based on baseline magnetic resonance imaging, cerebrospinal fluid, and serum biomarkers. The clusters were compared with respect to longitudinal atrophy, cognitive trajectory, and time to conversion.
Results:
Four clusters emerged with distinct biomarker patterns: The first cluster was biologically similar to normal controls and rarely converted to Alzheimer's disease (AD) during follow-up. The second cluster had characteristics of early Alzheimer's pathology. The third cluster showed the most severe atrophy but barely abnormal tau levels and a substantial proportion converted to clinical AD. The fourth cluster appeared to be pre-AD and nearly all converted to AD.
Conclusions:
Subjects with MCI who were clinically similar showed substantial heterogeneity in biomarkers.
Insights
Mild cognitive impairment (MCI) patients show significant biological differences, impacting Alzheimer's disease (AD) progression. Understanding this heterogeneity is key for predicting clinical outcomes and developing targeted therapies.
Area of Science:
- Neuroscience
- Biomarker Research
- Clinical Neurology
Background:
- Previous studies of Alzheimer's Disease Neuroimaging Initiative (ADNI) normal controls revealed significant biological heterogeneity.
- This heterogeneity suggests that individuals with mild cognitive impairment (MCI) may also exhibit diverse biological profiles.
Purpose of the Study:
- To investigate the biological heterogeneity among ADNI subjects diagnosed with amnestic MCI.
- To explore the clinical implications of identified subgroups within the MCI population.
Main Methods:
- Clustering of 138 amnestic MCI subjects from ADNI based on baseline MRI, CSF, and serum biomarkers.
- Comparison of identified clusters based on longitudinal atrophy rates, cognitive decline trajectories, and time to Alzheimer's disease (AD) conversion.
Main Results:
- Four distinct clusters emerged, characterized by unique biomarker patterns.
- Cluster 1 resembled normal controls with low AD conversion rates. Cluster 2 showed early AD pathology markers.
- Cluster 3 exhibited severe atrophy but near-normal tau, with significant AD conversion. Cluster 4 presented as pre-AD with near-universal conversion.
Conclusions:
- Clinically similar MCI subjects demonstrate substantial underlying biological heterogeneity.
- This heterogeneity in biomarkers is critical for understanding individual disease trajectories and predicting conversion to Alzheimer's disease.
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